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Journal Articles
- 2022
[j10]Austin Clyde, Stephanie Galanie, Daniel W. Kneller
, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens:
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor. J. Chem. Inf. Model. 62(1): 116-128 (2022)- [j9]Zhuozhao Li, Haiying Shen:
Co-Scheduler: A Coflow-Aware Data-Parallel Job Scheduler in Hybrid Electrical/Optical Datacenter Networks. IEEE/ACM Trans. Netw. 30(4): 1599-1612 (2022) - [j8]Zhuozhao Li, Tanmoy Sen, Haiying Shen, Mooi Choo Chuah:
A Study on the Impact of Memory DoS Attacks on Cloud Applications and Exploring Real-Time Detection Schemes. IEEE/ACM Trans. Netw. 30(4): 1644-1658 (2022) - [j7]Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard:
$f$funcX: Federated Function as a Service for Science. IEEE Trans. Parallel Distributed Syst. 33(12): 4948-4963 (2022) - 2021
- [j6]Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Simplifying publication, discovery, and use of machine learning models in science. J. Parallel Distributed Comput. 147: 64-76 (2021) - 2018
- [j5]Li Yan, Haiying Shen, Zhuozhao Li, Ankur Sarker, John A. Stankovic, Chenxi Qiu, Juanjuan Zhao, Cheng-Zhong Xu:
Employing Opportunistic Charging for Electric Taxicabs to Reduce Idle Time. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 47:1-47:25 (2018) - [j4]Zhuozhao Li, Harrison Chandler, Haiying Shen:
Analysis of Knowledge Sharing Activities on a Social Network Incorporated Discussion Forum: A Case Study of DISboards. IEEE Trans. Big Data 4(4): 432-446 (2018) - 2017
- [j3]Zhuozhao Li, Haiying Shen, Walter B. Ligon III, Jeffrey Denton:
An Exploration of Designing a Hybrid Scale-Up/Out Hadoop Architecture Based on Performance Measurements. IEEE Trans. Parallel Distributed Syst. 28(2): 386-400 (2017) - [j2]Zhuozhao Li, Haiying Shen:
Measuring Scale-Up and Scale-Out Hadoop with Remote and Local File Systems and Selecting the Best Platform. IEEE Trans. Parallel Distributed Syst. 28(11): 3201-3214 (2017) - 2016
- [j1]Haiying Shen, Zhuozhao Li:
New Bandwidth Sharing and Pricing Policies to Achieve a Win-Win Situation for Cloud Provider and Tenants. IEEE Trans. Parallel Distributed Syst. 27(9): 2682-2697 (2016)
Conference and Workshop Papers
- 2024
- [c37]Bowen Zhang, Shuxin Li, Zhuozhao Li:
MIGER: Integrating Multi-Instance GPU and Multi-Process Service for Deep Learning Clusters. ICPP 2024: 504-513 - [c36]Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. IPDPS 2024: 217-229 - [c35]Rongyuan Tan, Zhuozhao Li:
MAAD: A Distributed Anomaly Detection Architecture for Microservices Systems. IPDPS 2024: 1009-1021 - 2023
- [c34]Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li:
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP 2023: 562-578 - 2022
- [c33]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS2022: The 2nd Workshop on High Performance Serverless Computing. HPDC 2022: 290-291 - 2021
- [c32]Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li:
Federated Function as a Service for eScience. e-Science 2021: 251-252 - [c31]Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster:
A Serverless Framework for Distributed Bulk Metadata Extraction. HPDC 2021: 7-18 - [c30]Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. ICPP 2021: 40:1-40:12 - [c29]Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard:
Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments. IPDPS Workshops 2021: 66-75 - [c28]Tim Shaffer, Zhuozhao Li, Ben Tovar, Yadu N. Babuji, T. J. Dasso, Zoe Surma, Kyle Chard, Ian T. Foster, Douglas Thain:
Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications. IPDPS 2021: 786-796 - 2020
- [c27]Chenxi Qiu, Anna Cinzia Squicciarini, Zhuozhao Li, Ce Pang, Li Yan:
Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing. CIKM 2020: 1275-1284 - [c26]Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. HPDC 2020: 65-76 - [c25]Zhuozhao Li, Tanmoy Sen, Haiying Shen, Mooi Choo Chuah:
Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes. ICDCS 2020: 1191-1192 - [c24]Zhuozhao Li, Tanmoy Sen, Haiying Shen, Mooi Choo Chuah:
Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes. ICPP 2020: 67:1-67:11 - 2019
- [c23]Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt:
ParaOpt: Automated Application Parameterization and Optimization for the Cloud. CloudCom 2019: 255-262 - [c22]Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard:
Parsl: Pervasive Parallel Programming in Python. HPDC 2019: 25-36 - [c21]Zhuozhao Li, Haiying Shen, Lee Ward:
Accelerating Big Data Analytics Using Scale-Up/Out Heterogeneous Clusters. ICCCN 2019: 1-9 - [c20]Zhuozhao Li, Haiying Shen:
Co-scheduler: Accelerating Data-Parallel Jobs in Datacenter Networks with Optical Circuit Switching. ICDCS 2019: 186-195 - [c19]Liuwang Kang, Haiying Shen, Zhuozhao Li:
Road Gradient Estimation Using Smartphones: Towards Accurate Estimation on Fuel Consumption and Air Pollution Emission on Roads. ICDCS 2019: 768-777 - [c18]Zhuozhao Li, Haiying Shen:
JobPacker: Job Scheduling for Data-Parallel Frameworks with Hybrid Electrical/Optical Datacenter Networks. ICPP 2019: 30:1-30:10 - [c17]Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. IPDPS 2019: 283-292 - [c16]Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster:
Serverless Workflows for Indexing Large Scientific Data. WOSC@Middleware 2019: 43-48 - [c15]Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Ian T. Foster, Michael Wilde, Kyle Chard:
Scalable Parallel Programming in Python with Parsl. PEARC 2019: 22:1-22:8 - [c14]Ryan Chard, Logan T. Ward, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Kyle Chard, Ben Blaiszik, Ian T. Foster:
Publishing and Serving Machine Learning Models with DLHub. PEARC 2019: 73:1-73:7 - 2018
- [c13]Zhuozhao Li, Haiying Shen, Ankur Sarker:
A Network-Aware Scheduler in Data-Parallel Clusters for High Performance. CCGrid 2018: 1-10 - [c12]Zhuozhao Li, Haiying Shen, Cole Miles:
PageRankVM: A PageRank Based Algorithm with Anti-Collocation Constraints for Virtual Machine Placement in Cloud Datacenters. ICDCS 2018: 634-644 - [c11]Haoyu Wang, Haiying Shen, Zhuozhao Li:
Approaches for Resilience against Cascading Failures in Cloud Datacenters. ICDCS 2018: 706-717 - 2017
- [c10]Zhuozhao Li, Haiying Shen:
Job scheduling for data-parallel frameworks with hybrid electrical/optical datacenter networks. SoCC 2017: 662 - [c9]Ankur Sarker, Zhuozhao Li, William Kolodzey, Haiying Shen:
Opportunistic Energy Sharing Between Power Grid and Electric Vehicles: A Game Theory-Based Pricing Policy. ICDCS 2017: 1197-1207 - 2016
- [c8]Zhuozhao Li, Haiying Shen:
Performance Measurement on Scale-Up and Scale-Out Hadoop with Remote and Local File Systems. CLOUD 2016: 456-463 - [c7]Abouzar Ghavami, Zhuozhao Li, Haiying Shen:
On-Demand Bandwidth Pricing for Congestion Control in Core Switches in Cloud Networks. CLOUD 2016: 867-870 - [c6]Zhuozhao Li, Haiying Shen, Jeffrey Denton, Walter B. Ligon III:
Comparing application performance on HPC-based Hadoop platforms with local storage and dedicated storage. IEEE BigData 2016: 233-242 - [c5]Haiying Shen, Lei Yu, Liuhua Chen, Zhuozhao Li:
Goodbye to Fixed Bandwidth Reservation: Job Scheduling with Elastic Bandwidth Reservation in Clouds. CloudCom 2016: 1-8 - [c4]Abouzar Ghavami, Zhuozhao Li, Haiying Shen:
Game Theory-Based Nonlinear Bandwidth Pricing for Congestion Control in Cloud Networks. CloudCom 2016: 214-221 - [c3]Zhuozhao Li, Haiying Shen, Kang Chen:
Learning Network Graph of SIR Epidemic Cascades Using Minimal Hitting Set Based Approach. ICCCN 2016: 1-9 - 2015
- [c2]Zhuozhao Li, Haiying Shen:
Designing a Hybrid Scale-Up/Out Hadoop Architecture Based on Performance Measurements for High Application Performance. ICPP 2015: 21-30 - 2014
- [c1]Haiying Shen, Zhuozhao Li:
New bandwidth sharing and pricing policies to achieve a win-win situation for cloud provider and tenants. INFOCOM 2014: 835-843
Editorship
- 2022
- [e2]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS@HPDC 2022: Proceedings of the 2nd Workshop on High Performance Serverless Computing, Minneapolis, MN, USA, 30 June 2022. ACM 2022, ISBN 978-1-4503-9311-9 [contents] - 2021
- [e1]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, Virtual Event, Sweden, 25 June, 2021. ACM 2021, ISBN 978-1-4503-8388-2 [contents]
Informal and Other Publications
- 2024
- [i9]Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. CoRR abs/2403.19257 (2024) - 2022
- [i8]Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz:
Extended Abstract: Productive Parallel Programming with Parsl. CoRR abs/2205.01527 (2022) - [i7]Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard:
funcX: Federated Function as a Service for Science. CoRR abs/2209.11631 (2022) - 2020
- [i6]Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. CoRR abs/2005.04215 (2020) - [i5]Yadu N. Babuji, Ben Blaiszik, Tom Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Ian T. Foster, Zhi Hong, Shantenu Jha, Zhuozhao Li, Xuefeng Liu, Arvind Ramanathan, Yi Ren, Nicholaus Saint, Marcus Schwarting, Rick Stevens, Hubertus Van Dam, Rick Wagner:
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release. CoRR abs/2006.02431 (2020) - [i4]Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Thomas S. Brettin, Kyle Chard, Ryan Chard, Peter V. Coveney, Anda Trifan, Alex Brace, Austin Clyde, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Thorsten Kurth, Dieter Kranzlmüller, Hyungro Lee, Zhuozhao Li, Heng Ma, André Merzky, Gerald Mathias, Alexander Partin, Junqi Yin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. CoRR abs/2010.06574 (2020) - 2019
- [i3]Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard:
Parsl: Pervasive Parallel Programming in Python. CoRR abs/1905.02158 (2019) - [i2]Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard:
Serverless Supercomputing: High Performance Function as a Service for Science. CoRR abs/1908.04907 (2019) - 2018
- [i1]Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. CoRR abs/1811.11213 (2018)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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